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In this paper, we propose multilevel framework for summarization of surveillance videos using motion entropy by maintaining chronology of activities. We aim to reduce the size of the video to give a meaningful summary by retaining important activities without destroying the temporal relationship of the activities. Initially input video is divided into blocks and then blocks into segments in a multilevel...
This paper presents an approach to detect an abnormal situation in a crowd scene. The proposed approach estimates sudden changes and abnormal motion variations in a set of interest points. The number of tracked points of interest is reduced by using a mask that corresponds to the hot areas of the built motion heat map. Optical flow technique tracks the points of interest. There are sufficient variations...
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